NEW CONSTRAINT-HANDLING METHOD FOR MULTI-OBJECTIVE MULTI-CONSTRAINT EVOLUTIONARY OPTIMIZATION AND ITS APPLICATION TO SPACE PLANE DESIGN
Akira Oyama, Koji Shimoyama, Kozo Fujii · 2005
A new constraint-handling method based on Pareto-optimality concept for multi- objective multi-constraint design optimization problems has been proposed. The proposed method does not need any constants to be tuned for constraint handling. In addition, the present method does not use weighted-sum of constraints and thus does not need tuning of weight coefficients and is efficient even when the amount of violation of each constraint is significantly different. The proposed approach is demonstrated to be remarkably robust than the dynamic penalty approach and other dominance-based approaches through the optimal design of a welded beam and conceptual design optimization of a two-stage-to-orbit space plane.